Remote, USAWhy This Role is ExcitingWe are seeking a passionate and skilled Machine Learning Engineer to join our effort to push the frontiers of risk management. This role offers the opportunity to work with cutting-edge Large Language Models (LLMs), utilizing techniques like Retrieval-Augmented Generation (RAG), Few-Shot Learning, Prompt Engineering, Fine-Tuning, Semantic Search, and Knowledge Distillation, etc. You will apply your expertise to build advanced AI/ML solutions, enhancing our AuditBoard product portfolio with features like chat systems, agentic workflows, intelligent data extraction, and personalized insights. If you're excited about leveraging modern AI/ML techniques to transform the industry, this role is for you. Join our customer-focused team dedicated to continuous learning and innovation.
Key Responsibilities- Build, ship, and own product features end-to-end
- Work with designers, and product managers to create high-performing product features.
- Apply a range of techniques-from classical ML to LLM-based approaches (RAG, prompt engineering, fine-tuning, semantic search)-with a strong focus on reliability, performance, and maintainability
- Write well-designed, maintainable, and testable code
- Write clear and well-defined design documentation
- Troubleshoot, debug, and resolve software bugs
- Be product-minded and think about the customer
- Stay updated on AI/ML advancements and explore new techniques and tools.
- Participate in an Agile software development life cycle
- Work with Python, JavaScript, Node.JS, Docker, PostgreSQL, Kubernetes, etc
Attributes of a Successful Candidate- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
- 4 plus years of hands-on experience in developing and deploying machine learning models
- Ability to write scalable production-quality code
- Proficiency in classical machine learning methods and familiarity with newer techniques like LLMs
- Excellent programming skills in Python, Java, or similar languages
- Experience with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, Keras, MXNet, or scikit-learn.
- Familiarity with search/information retrieval, and ranking systems
- Strong communication skills and ability to work collaboratively
- Analytically minded with a focus on metrics and evaluation
- Motivation to work hard and always be learning
Preferred- Experience with Node.JS and modern ES6 or TypeScript
- Experience working on SaaS web applications
- Basic understanding of distributed systems
- Bonus: Docker, Kubernetes experience, AWS/Azure cloud infrastructure
Perks (United States)- Launch a career at one of the fastest-growing SaaS companies in North America and EMEA!
- Live your best life (LYBL)! $200/mo for anything that enhances your life
- Comprehensive employee health coverage
- 401(k) with company match
- Competitive compensation & bonus program
- Flexible vacation (exempt) / Accrued vacation (non-exempt)
- Time off for your birthday & volunteering
- Employee resource groups
- Opportunities for team and company-wide get-togethers!
- Parental Leave
*perks may vary based on eligibility/location
#LI-Remote 
